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Finite Element Method for Multiphase Flow Instabilities | #Sciencefather #Researcherawards

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Introduction The study introduces a comprehensive finite element framework designed to model compressible, turbulent multiphase flows with heat transfer , addressing major limitations in conventional finite volume–based Volume of Fluid (VOF) approaches . By integrating a reconstruction-free VOF formulation with the dynamic Vreman large eddy simulation (LES) turbulence model , the method captures interfacial dynamics more accurately in high-speed two-fluid scenarios. Unlike traditional VOF studies that often omit thermal effects, this framework embeds energy transport directly into the multiphase formulation, enabling simultaneous prediction of flow evolution, turbulence, and heat exchange. Its capability to handle conjugate heat transfer without prescribing interfacial heat fluxes represents a major advancement over finite volume methods, which typically require explicit thermal boundary conditions that reduce accuracy. The framework’s effectiveness is demonstrated through instabil...
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Pipe Damage Detection Using Line-Structured Light | Advanced Tech #Sciencefather #Researcherawards

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  Introduction Baseline-free structural health monitoring (SHM) has emerged as a transformative approach that enables real-time damage assessment without relying on initial reference data. This concept is particularly valuable for pipe systems, where obtaining pristine baseline conditions is often impractical. The discussed study introduces a novel framework that integrates line-structured light (LSL) and regional resonance pairs (RRPs) to enhance the reliability and accuracy of pipe damage identification. By analyzing resonance variations and quantifying material loss , the method offers a robust, non-contact, and comprehensive strategy for detecting, locating, and evaluating damage severity. Importance of Baseline-Free SHM in Pipe Monitoring Pipes operate in environments where baseline conditions can change due to aging, temperature fluctuations, or environmental stress, making traditional SHM approaches less effective. Baseline-free techniques overcome these limitations by relyi...
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Tetracycline Fluorescent Sensor Using Tomato Stalk Carbon Dots #Sciencefather #Researcherawards

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Introduction Biomass-derived carbon dots (CDs) have emerged as a promising class of eco-friendly nanomaterials for sensitive and selective detection of environmental contaminants . In this study, tomato straw waste was effectively converted into fluorescent CDs with remarkable optical properties, enabling their application in sensing technologies. By incorporating a molecularly imprinted polymer (MIP) layer , the material gains highly selective binding capabilities, making it ideal for the detection of tetracycline (TC), a widely used antibiotic and a major environmental pollutant. This work demonstrates not only the valorization of agricultural residues but also the advancement of sustainable nanotechnology for environmental monitoring. Biomass-Derived Carbon Dots: Structure and Fluorescent Properties Carbon dots synthesized from tomato straws exhibit excellent fluorescence stability, uniform particle size, and high quantum yield . Their abundant surface functional groups enable s...
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Soil Moisture Modelling with Limited ISMN Data | Remote Sensing #Sciencefather #Researcherawards

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Introduction Soil moisture is a key component of Earth’s critical zone and influences diverse processes in hydrology, agriculture, and ecosystem stability. In regions where long-term ground-based monitoring is not feasible, numerical models supported by short-term in situ observations can provide a reliable alternative for estimating soil moisture dynamics. Remote sensing precipitation datasets further support this modelling approach, especially in data-scarce environments. The present research focuses on integrating limited in situ observations with numerical modelling and satellite precipitation products to better characterize the long-term soil moisture behaviour in the Northern Territory, Australia . Importance of Soil Moisture in Environmental and Hydrological Research Soil moisture plays a fundamental role in governing infiltration, runoff, evapotranspiration , and vegetation health, making it a central variable for environmental modelling. In semi-arid and tropical savannah ...
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Chromium Coating Spectroscopy Review | #Sciencefather #Researcherawards

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Introduction The evolution of chromium coating technologies has been increasingly shaped by the application of vibrational spectroscopy, which provides detailed structural and mechanistic insights into coating formation and performance. Early research efforts focused heavily on chemical processes using hexavalent chromium precursors, but environmental and health concerns have driven a transition toward trivalent chromium systems. Vibrational spectroscopy, especially when integrated with complementary analytical tools such as synchrotron infrared microspectroscopy, has played a pivotal role in elucidating coating architectures, chemical gradients, and reaction pathways. Despite significant advancements in understanding Cr(VI)-based conversion coatings, the electrochemical deposition of Cr(III) remains comparatively underexplored, leaving several mechanistic gaps in current literature. Structural Insights into Cr(VI) Conversion Coatings Extensive vibrational spectroscopy studies on Cr(VI...
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🏆 Most Shared Article Award | Honoring Global Research Impact 🌍 #Sciencefather #Researcherawards

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Introduction The Most Shared Article Award celebrates the spirit of innovation, communication, and global collaboration in science . It acknowledges research that has transcended traditional academic boundaries, capturing the imagination of scholars and the public alike. By recognizing articles that achieve widespread visibility and engagement, this award highlights how impactful ideas can travel beyond journals and spark global scientific dialogue. The Power of Research Visibility Visibility in research is not just a measure of popularity — it reflects influence, reach, and academic value. When a study is widely shared, it extends the boundaries of knowledge, allowing others to learn, adapt, and expand upon it. Through sharing, researchers contribute to a collective pool of innovation where every new idea builds on the previous one, accelerating scientific progress across disciplines. Global Collaboration and Knowledge Exchange Science thrives on collaboration, and shared res...
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Accuracy Enhancement AI-Based River Water-Level Prediction Model | #Sciencefather #Researcherawards

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                          Introduction Global warming has evolved into one of the most pressing climate crises of the 21st century, extending beyond a simple rise in global temperatures. Its far-reaching impacts include increasing occurrences of extreme weather phenomena, especially in Asia. In regions such as Korea and the ASEAN member states , the escalation in the frequency and intensity of extreme rainfall events has significantly amplified flood-related disasters. These large-scale hydrological events highlight the necessity for advanced flood-forecasting models that can provide early warnings and support mitigation strategies. With artificial intelligence (AI) emerging as a promising alternative to traditional physics-based methods, researchers are focusing on developing AI-driven systems that can predict floods with higher accuracy and speed using limited datasets. Impact of Climate Change on Hydrological Systems...
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